Forward Deployed Solution Engineer – Applied AI

About the role

ServiceNow's Applied AI Forward Deployed Engineering team partners with its most strategic customers to build intelligent, scalable AI solutions. As a Forward Deployed Solution Engineer, you act as the CTO of the build, owning backend services, LLM pipelines and front-end integrations, and delivering solution-ready builds in agile sprints alongside customers in the field.

Key responsibilities

• Build solution-ready LLM-enabled applications spanning backend logic, data orchestration and front-end UI
• Work side-by-side with customers to adapt, deploy and iterate in live environments
• Codify reusable assets such as libraries, prompts and scaffolds
• Share feedback with platform and product teams to shape developer experience
• Deliver production-ready solutions in agile end-to-end sprints

Required profile

• 10+ years of software engineering, including 2+ years in customer-facing or embedded roles
• Proven ability to design and implement AI-native software in production
• Ability to travel up to 30% to embed onsite
• Experience integrating AI into work processes, such as automating workflows or analysing AI-driven insights

Required skills

• Backend: Python, Node.js, Java; frontend: React, Angular; APIs: REST/GraphQL
• ML foundations: MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, SQL
• LLM tooling: LangChain, Semantic Kernel, prompt chaining, vector search, context management
• Observability: debugging distributed systems, tuning latency, monitoring
• DevOps: AWS, Azure or GCP, CI/CD, containers, infrastructure as code